Martinez Ramirez M, Benetos E, Reiss J(2020). Deep Learning for Black-Box Modeling of Audio Effects. Applied Sciences vol. 10, (2) Article 638,
Chettri B, Stoller D, Morfi V, Martinez Ramirez M, Benetos E, Sturm B (2019). Ensemble Models for Spoofing Detection in Automatic Speaker Verification. Conference: 20th Annual Conference of the International Speech Communication Association (INTERSPEECH 2019) (Graz, Austria) from: 15/07/2019 to: 19/09/2019, 1018-1022.
Martinez Ramirez M, Reiss J (2019). Modeling nonlinear audio effects with end-to-end deep neural networks. Conference: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Ramírez MAM, Benetos E, Reiss JD (2019). A general-purpose deep learning approach to model time-varying audio effects. CoRR. vol. abs/1905.06148,
Martinez Ramirez M, Reiss J (2018). End-to-end equalization with convolutional neural networks. Conference: International Conference on Digital Audio Effects (DAFx-18)
Martínez Ramírez MA, Reiss JD (2017). Stem audio mixing as a content-based transformation of audio features. 2017 IEEE 19th International Workshop on Multimedia Signal Processing, MMSP 2017. vol. 2017-January, 1-6.
Martinez Ramirez M, Reiss J (2017). Analysis and prediction of the audio feature space when mixing raw recordings into individual stems. Conference: 143rd Audio Engineering Society Convention
MARTINEZ RAMIREZ MA, Reiss J (2016). Intelligent Audio Mixing Using Deep Learning. DMRN+11: Digital Music Research Network Workshop Proceedings 2016. Conference: DMRN+11: Digital Music Research Network One-day Workshop 2016 (Centre for Digital Music, Queen Mary University of London) from: 20/12/2016 to: 20/12/2016,